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An extended Kalman filter is used to estimate the
velocity of an object moving across an image frame and to
reduce the undesirable effects of noise. The extended Kalman
filter is implemented in the spatial frequency domain to
reduce the number of computations. The resulting filter
structure is a parallel bank of third-order extended Kalman
filters. This parallel structure is referred to as the
modified extended Kalman filter. The performance of the
modified extended Kalman filter is evaluated under a variety
of noise conditions using computer simulations. Simulations
employed two test objects moving across a reference image in
the presence of zero-mean, white, Gaussian noise. The
performance of the filter was demonstrated when these objects
were moved at integer and noninteger velocities. Performance
was also evaluated when a stationary background was included
with the white noise.

Extended Kalman filtering is used to provide estimates of the position and velocity of a target based upon observations of the target's bearing and range. Non-stationary noise is shown to degrade the performance of the ...

Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalman filter (UKF) are commonly used in practical application. The Kalman filter is an optimal estimator for linear systems; ...

Geographic location of radar emitters is the process of estimating an emitter's location upon the surface of the earth from direction of arrival (DOA) data for the targeted emitter. The current Emitter Location (EMLOC) ...